TH1.B2.5
AN ADAPTIVE NEURAL NETWORK FOR MULTI-HAZARD BUILDING DAMAGE DETECTION FROM VERY-HIGH-RESOLUTION SATELLITE IMAGERY
Sebastian Hafner, Yifang Ban, KTH Royal Institute of Technology, Sweden
Session:
TH1.B2: Remote Sensing to Quantify and Monitor Earth Dynamics in Support of the Sustainable Development Goals and Climate Related Impacts: Methods and Applications I Oral
Track:
Community-Contributed Sessions
Location:
Room B2
Presentation Time:
Thursday, 7 August, 08:45 - 09:00
Presentation
Discussion
Resources
No resources available.
Session TH1.B2
TH1.B2.2: A PRELIMINARY RESEARCH ON MORAN PLOT TO DETECT EAST ASIAN AREAS WITH RELATIVE CO2 UNEVEN CONCENTRATIONS AMONG NEIGHBOR CELLS OF GOSAT
Shojiro Tanaka, Hiroshima University of Economics, Japan
TH1.B2.3: SATELLITE SENSING INTO AGRICULTURAL PRACTICES: CAL/VAL CAMPAIGN OF SATELLITE, AIRBORNE AND GROUND GNSS-REFLECTOMETRY OF SOIL MOISTURE
Matthew Wilson, University of Canterbury, New Zealand; Shin-Chan Han, Mehdi Khaki, In-Young Yeo, George Townsend, University of Newcastle, Australia; Fang Yuan, FrontierSI, Australia; Martin Nguyen, Xaiodong Cai, University of Canterbury, New Zealand; Delwyn Moller, Restore Labs Ltd., New Zealand
TH1.B2.4: OIL SPILL SEGMENTATION IN SAR IMAGERY WITH A DEEP ENCODER-DECODER NETWORK
Awais Tahir, Ehtasham Naseer, Muhammad Adnan Siddique, Information Technology University of the Punjab, Pakistan
TH1.B2.5: AN ADAPTIVE NEURAL NETWORK FOR MULTI-HAZARD BUILDING DAMAGE DETECTION FROM VERY-HIGH-RESOLUTION SATELLITE IMAGERY
Sebastian Hafner, Yifang Ban, KTH Royal Institute of Technology, Sweden
Resources
No resources available.